Big Data Requires Big Skills
From consumer retail to "smart grids," trading algorithms, and health care delivery, businesses generate an unprecedented amount of data. Harnessing that data is critical to success. Students with the skills to ask good questions, identify patterns and trends, and leverage Big Data to drive business strategy are in short supply and high demand.
The M.S. in Analytics at the University of San Francisco is an intensive one-year program that provides you with the skills necessary to develop techniques and processes for data-driven decision-making — the key to effective business strategies.
An innovative, interdisciplinary program offered jointly by the College of Arts and Sciences and the School of Management, the Analytics Program delivers rigorous training in the mathematical and computational techniques of Big Data. It provides mastery of the analytics tied to strategic decisions — and the skills to effectively communicate these results in business settings.
You will study topics such as data mining, machine learning, statistical models, predictive analytics, econometrics, optimization, risk analysis, data visualization, business communication and management science.
USF's analytics program is highly technical as you will be writing R and Python programs for most of your courses. Throughout the program, you work with an industrial partner in the practicum (some are paid internships).
“The proximity of USF’s downtown campus to leading businesses gives us the opportunity to meet and attend seminars by the country’s most talented data scientists.”
For more testimonials and videos visit our community page.